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| Titel |
PISCES-v2: an ocean biogeochemical model for carbon and ecosystem studies |
| VerfasserIn |
O. Aumont, C. Ethe, A. Tagliabue, L. Bopp, M. Gehlen |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 8 ; Nr. 8, no. 8 (2015-08-13), S.2465-2513 |
| Datensatznummer |
250116503
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| Publikation (Nr.) |
 copernicus.org/gmd-8-2465-2015.pdf |
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| Zusammenfassung |
| PISCES-v2 (Pelagic Interactions Scheme for Carbon and Ecosystem Studies volume 2) is a biogeochemical model which simulates the lower trophic levels
of marine ecosystems
(phytoplankton, microzooplankton and mesozooplankton) and the biogeochemical cycles of carbon
and of the main nutrients (P, N, Fe, and Si). The model is intended to be used for both regional
and global configurations at high or low spatial resolutions as well as for
short-term (seasonal, interannual) and long-term (climate change, paleoceanography) analyses.
There are 24 prognostic variables (tracers) including two phytoplankton compartments
(diatoms and nanophytoplankton), two zooplankton size classes (microzooplankton and
mesozooplankton) and a description of the carbonate chemistry. Formulations in PISCES-v2 are based on
a mixed Monod–quota formalism. On the one hand, stoichiometry of C / N / P is fixed and growth rate of phytoplankton
is limited by the external availability in N, P and Si. On the other hand, the iron and silicon quotas are
variable and the growth rate of phytoplankton is limited by the internal availability in Fe. Various
parameterizations can be activated in PISCES-v2, setting, for instance, the complexity of iron
chemistry or the description of particulate organic materials. So far, PISCES-v2 has been coupled
to the Nucleus for European Modelling of the Ocean (NEMO) and Regional Ocean Modeling System
(ROMS) systems. A full description of PISCES-v2 and of its optional functionalities is provided
here. The results of a quasi-steady-state simulation are presented and evaluated against diverse
observational and satellite-derived data. Finally, some of the new functionalities of PISCES-v2
are tested in a series of sensitivity experiments. |
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